Overview

Dataset statistics

Number of variables27
Number of observations1000
Missing cells1157
Missing cells (%)4.3%
Total size in memory4.6 MiB
Average record size in memory4.7 KiB

Variable types

Numeric1
Text26

Alerts

gsgroup has 244 (24.4%) missing valuesMissing
gstype has 423 (42.3%) missing valuesMissing
sitename has 133 (13.3%) missing valuesMissing
subcategory has 356 (35.6%) missing valuesMissing
0 has unique valuesUnique
omppropid has unique valuesUnique
starea has unique valuesUnique
stlength has unique valuesUnique
system has unique valuesUnique
multipolygon has unique valuesUnique

Reproduction

Analysis started2023-12-09 20:36:18.735241
Analysis finished2023-12-09 20:36:21.331980
Duration2.6 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

0
Real number (ℝ)

UNIQUE 

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean500.5
Minimum1
Maximum1000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2023-12-09T20:36:21.482241image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile50.95
Q1250.75
median500.5
Q3750.25
95-th percentile950.05
Maximum1000
Range999
Interquartile range (IQR)499.5

Descriptive statistics

Standard deviation288.8194361
Coefficient of variation (CV)0.5770618104
Kurtosis-1.2
Mean500.5
Median Absolute Deviation (MAD)250
Skewness0
Sum500500
Variance83416.66667
MonotonicityStrictly increasing
2023-12-09T20:36:21.666365image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
672 1
 
0.1%
659 1
 
0.1%
660 1
 
0.1%
661 1
 
0.1%
662 1
 
0.1%
663 1
 
0.1%
664 1
 
0.1%
665 1
 
0.1%
666 1
 
0.1%
Other values (990) 990
99.0%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
ValueCountFrequency (%)
1000 1
0.1%
999 1
0.1%
998 1
0.1%
997 1
0.1%
996 1
0.1%

acres
Text

Distinct995
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size65.5 KiB
2023-12-09T20:36:21.974329image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.907
Min length7

Characters and Unicode

Total characters9907
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique991 ?
Unique (%)99.1%

Sample

1st row0.07027865
2nd row0.07027767
3rd row0.07027871
4th row0.07027801
5th row0.07027864
ValueCountFrequency (%)
0.00949177 3
 
0.3%
0.00833213 2
 
0.2%
0.03935591 2
 
0.2%
0.00630967 2
 
0.2%
0.00975401 1
 
0.1%
0.01080067 1
 
0.1%
0.04486997 1
 
0.1%
0.08328395 1
 
0.1%
0.01702911 1
 
0.1%
0.00971917 1
 
0.1%
Other values (985) 985
98.5%
2023-12-09T20:36:22.428524image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2505
25.3%
. 1000
 
10.1%
1 826
 
8.3%
3 804
 
8.1%
2 757
 
7.6%
7 688
 
6.9%
5 687
 
6.9%
4 681
 
6.9%
9 666
 
6.7%
8 652
 
6.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8907
89.9%
Other Punctuation 1000
 
10.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2505
28.1%
1 826
 
9.3%
3 804
 
9.0%
2 757
 
8.5%
7 688
 
7.7%
5 687
 
7.7%
4 681
 
7.6%
9 666
 
7.5%
8 652
 
7.3%
6 641
 
7.2%
Other Punctuation
ValueCountFrequency (%)
. 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9907
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2505
25.3%
. 1000
 
10.1%
1 826
 
8.3%
3 804
 
8.1%
2 757
 
7.6%
7 688
 
6.9%
5 687
 
6.9%
4 681
 
6.9%
9 666
 
6.7%
8 652
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9907
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2505
25.3%
. 1000
 
10.1%
1 826
 
8.3%
3 804
 
8.1%
2 757
 
7.6%
7 688
 
6.9%
5 687
 
6.9%
4 681
 
6.9%
9 666
 
6.7%
8 652
 
6.6%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size56.8 KiB
2023-12-09T20:36:22.563190image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowQ
2nd rowQ
3rd rowQ
4th rowQ
5th rowQ
ValueCountFrequency (%)
q 745
74.5%
b 120
 
12.0%
x 64
 
6.4%
m 56
 
5.6%
r 15
 
1.5%
2023-12-09T20:36:22.804435image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
Q 745
74.5%
B 120
 
12.0%
X 64
 
6.4%
M 56
 
5.6%
R 15
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1000
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
Q 745
74.5%
B 120
 
12.0%
X 64
 
6.4%
M 56
 
5.6%
R 15
 
1.5%

Most occurring scripts

ValueCountFrequency (%)
Latin 1000
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
Q 745
74.5%
B 120
 
12.0%
X 64
 
6.4%
M 56
 
5.6%
R 15
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
Q 745
74.5%
B 120
 
12.0%
X 64
 
6.4%
M 56
 
5.6%
R 15
 
1.5%
Distinct36
Distinct (%)3.6%
Missing1
Missing (%)0.1%
Memory size82.1 KiB
2023-12-09T20:36:23.023089image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length27
Median length27
Mean length27
Min length27

Characters and Unicode

Total characters26973
Distinct characters14
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)0.8%

Sample

1st row2003-12-01 00:00:00.0000000
2nd row2003-12-01 00:00:00.0000000
3rd row2003-12-01 00:00:00.0000000
4th row2003-12-01 00:00:00.0000000
5th row2003-12-01 00:00:00.0000000
ValueCountFrequency (%)
00:00:00.0000000 999
50.0%
2010-01-11 181
 
9.1%
2009-02-24 146
 
7.3%
2001-12-01 82
 
4.1%
2000-06-01 80
 
4.0%
2001-06-01 75
 
3.8%
2000-12-01 74
 
3.7%
1999-06-01 49
 
2.5%
1999-12-01 47
 
2.4%
2006-12-01 36
 
1.8%
Other values (27) 229
 
11.5%
2023-12-09T20:36:23.371570image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 16138
59.8%
1 2063
 
7.6%
- 1998
 
7.4%
: 1998
 
7.4%
2 1486
 
5.5%
999
 
3.7%
. 999
 
3.7%
9 610
 
2.3%
6 342
 
1.3%
4 183
 
0.7%
Other values (4) 157
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 20979
77.8%
Other Punctuation 2997
 
11.1%
Dash Punctuation 1998
 
7.4%
Space Separator 999
 
3.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 16138
76.9%
1 2063
 
9.8%
2 1486
 
7.1%
9 610
 
2.9%
6 342
 
1.6%
4 183
 
0.9%
7 68
 
0.3%
8 61
 
0.3%
3 14
 
0.1%
5 14
 
0.1%
Other Punctuation
ValueCountFrequency (%)
: 1998
66.7%
. 999
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 1998
100.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 26973
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 16138
59.8%
1 2063
 
7.6%
- 1998
 
7.4%
: 1998
 
7.4%
2 1486
 
5.5%
999
 
3.7%
. 999
 
3.7%
9 610
 
2.3%
6 342
 
1.3%
4 183
 
0.7%
Other values (4) 157
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 26973
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 16138
59.8%
1 2063
 
7.6%
- 1998
 
7.4%
: 1998
 
7.4%
2 1486
 
5.5%
999
 
3.7%
. 999
 
3.7%
9 610
 
2.3%
6 342
 
1.3%
4 183
 
0.7%
Other values (4) 157
 
0.6%
Distinct64
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size58.7 KiB
2023-12-09T20:36:23.659561image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3000
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)0.7%

Sample

1st row414
2nd row414
3rd row414
4th row414
5th row414
ValueCountFrequency (%)
413 120
 
12.0%
408 120
 
12.0%
411 76
 
7.6%
407 72
 
7.2%
402 65
 
6.5%
403 53
 
5.3%
414 50
 
5.0%
412 39
 
3.9%
405 33
 
3.3%
409 30
 
3.0%
Other values (54) 342
34.2%
2023-12-09T20:36:24.045878image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 849
28.3%
0 606
20.2%
1 589
19.6%
3 324
 
10.8%
2 208
 
6.9%
8 150
 
5.0%
7 110
 
3.7%
5 74
 
2.5%
6 49
 
1.6%
9 41
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 849
28.3%
0 606
20.2%
1 589
19.6%
3 324
 
10.8%
2 208
 
6.9%
8 150
 
5.0%
7 110
 
3.7%
5 74
 
2.5%
6 49
 
1.6%
9 41
 
1.4%

Most occurring scripts

ValueCountFrequency (%)
Common 3000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 849
28.3%
0 606
20.2%
1 589
19.6%
3 324
 
10.8%
2 208
 
6.9%
8 150
 
5.0%
7 110
 
3.7%
5 74
 
2.5%
6 49
 
1.6%
9 41
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 849
28.3%
0 606
20.2%
1 589
19.6%
3 324
 
10.8%
2 208
 
6.9%
8 150
 
5.0%
7 110
 
3.7%
5 74
 
2.5%
6 49
 
1.6%
9 41
 
1.4%
Distinct56
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size57.7 KiB
2023-12-09T20:36:24.306140image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length4
Median length2
Mean length1.978
Min length1

Characters and Unicode

Total characters1978
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)1.1%

Sample

1st row32
2nd row32
3rd row32
4th row32
5th row32
ValueCountFrequency (%)
23 92
 
9.2%
24 81
 
8.1%
31 77
 
7.7%
19 76
 
7.6%
26 74
 
7.4%
32 56
 
5.6%
20 55
 
5.5%
27 51
 
5.1%
21 47
 
4.7%
30 35
 
3.5%
Other values (46) 356
35.6%
2023-12-09T20:36:24.715989image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 593
30.0%
3 372
18.8%
1 324
16.4%
4 178
 
9.0%
9 133
 
6.7%
0 99
 
5.0%
6 92
 
4.7%
7 84
 
4.2%
5 72
 
3.6%
8 31
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1978
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 593
30.0%
3 372
18.8%
1 324
16.4%
4 178
 
9.0%
9 133
 
6.7%
0 99
 
5.0%
6 92
 
4.7%
7 84
 
4.2%
5 72
 
3.6%
8 31
 
1.6%

Most occurring scripts

ValueCountFrequency (%)
Common 1978
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 593
30.0%
3 372
18.8%
1 324
16.4%
4 178
 
9.0%
9 133
 
6.7%
0 99
 
5.0%
6 92
 
4.7%
7 84
 
4.2%
5 72
 
3.6%
8 31
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1978
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 593
30.0%
3 372
18.8%
1 324
16.4%
4 178
 
9.0%
9 133
 
6.7%
0 99
 
5.0%
6 92
 
4.7%
7 84
 
4.2%
5 72
 
3.6%
8 31
 
1.6%
Distinct64
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size59.7 KiB
2023-12-09T20:36:24.986764image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length5
Median length4
Mean length4.005
Min length4

Characters and Unicode

Total characters4005
Distinct characters17
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)1.2%

Sample

1st rowQ-14
2nd rowQ-14
3rd rowQ-14
4th rowQ-14
5th rowQ-14
ValueCountFrequency (%)
q-08 120
 
12.0%
q-13 119
 
11.9%
q-07 72
 
7.2%
q-11 71
 
7.1%
q-02 62
 
6.2%
q-14 53
 
5.3%
q-03 52
 
5.2%
q-12 41
 
4.1%
q-05 36
 
3.6%
q-01 31
 
3.1%
Other values (54) 343
34.3%
2023-12-09T20:36:25.382665image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1000
25.0%
Q 745
18.6%
0 612
15.3%
1 545
13.6%
3 203
 
5.1%
2 134
 
3.3%
8 133
 
3.3%
B 120
 
3.0%
7 112
 
2.8%
4 109
 
2.7%
Other values (7) 292
 
7.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2000
49.9%
Uppercase Letter 1005
25.1%
Dash Punctuation 1000
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 612
30.6%
1 545
27.3%
3 203
 
10.2%
2 134
 
6.7%
8 133
 
6.7%
7 112
 
5.6%
4 109
 
5.5%
5 58
 
2.9%
6 48
 
2.4%
9 46
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
Q 745
74.1%
B 120
 
11.9%
X 64
 
6.4%
M 56
 
5.6%
R 15
 
1.5%
A 5
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
- 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3000
74.9%
Latin 1005
 
25.1%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1000
33.3%
0 612
20.4%
1 545
18.2%
3 203
 
6.8%
2 134
 
4.5%
8 133
 
4.4%
7 112
 
3.7%
4 109
 
3.6%
5 58
 
1.9%
6 48
 
1.6%
Latin
ValueCountFrequency (%)
Q 745
74.1%
B 120
 
11.9%
X 64
 
6.4%
M 56
 
5.6%
R 15
 
1.5%
A 5
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4005
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1000
25.0%
Q 745
18.6%
0 612
15.3%
1 545
13.6%
3 203
 
5.1%
2 134
 
3.3%
8 133
 
3.3%
B 120
 
3.0%
7 112
 
2.8%
4 109
 
2.7%
Other values (7) 292
 
7.3%
Distinct249
Distinct (%)24.9%
Missing0
Missing (%)0.0%
Memory size71.4 KiB
2023-12-09T20:36:25.735898image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length52
Median length11
Mean length15.964
Min length8

Characters and Unicode

Total characters15964
Distinct characters72
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique220 ?
Unique (%)22.0%

Sample

1st rowGreenstreet
2nd rowGreenstreet
3rd rowGreenstreet
4th rowGreenstreet
5th rowGreenstreet
ValueCountFrequency (%)
greenstreet 670
32.7%
104
 
5.1%
triangle 80
 
3.9%
ave 73
 
3.6%
st 62
 
3.0%
park 33
 
1.6%
avenue 28
 
1.4%
to 24
 
1.2%
malls 19
 
0.9%
blvd 19
 
0.9%
Other values (447) 937
45.7%
2023-12-09T20:36:26.265239image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 3394
21.3%
r 1821
11.4%
t 1744
10.9%
n 1071
 
6.7%
1051
 
6.6%
s 936
 
5.9%
G 766
 
4.8%
a 527
 
3.3%
i 365
 
2.3%
l 351
 
2.2%
Other values (62) 3938
24.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 11905
74.6%
Uppercase Letter 2476
 
15.5%
Space Separator 1051
 
6.6%
Decimal Number 231
 
1.4%
Other Punctuation 154
 
1.0%
Dash Punctuation 100
 
0.6%
Close Punctuation 23
 
0.1%
Open Punctuation 23
 
0.1%
Control 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 3394
28.5%
r 1821
15.3%
t 1744
14.6%
n 1071
 
9.0%
s 936
 
7.9%
a 527
 
4.4%
i 365
 
3.1%
l 351
 
2.9%
o 287
 
2.4%
d 194
 
1.6%
Other values (15) 1215
 
10.2%
Uppercase Letter
ValueCountFrequency (%)
G 766
30.9%
E 286
 
11.6%
T 229
 
9.2%
R 186
 
7.5%
S 178
 
7.2%
A 144
 
5.8%
P 100
 
4.0%
N 90
 
3.6%
M 89
 
3.6%
B 82
 
3.3%
Other values (15) 326
13.2%
Decimal Number
ValueCountFrequency (%)
1 54
23.4%
3 46
19.9%
2 32
13.9%
4 25
10.8%
7 21
 
9.1%
9 20
 
8.7%
0 12
 
5.2%
8 11
 
4.8%
5 6
 
2.6%
6 4
 
1.7%
Other Punctuation
ValueCountFrequency (%)
& 76
49.4%
, 32
20.8%
. 30
 
19.5%
' 6
 
3.9%
/ 4
 
2.6%
: 3
 
1.9%
@ 3
 
1.9%
Space Separator
ValueCountFrequency (%)
1051
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 100
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 14381
90.1%
Common 1583
 
9.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 3394
23.6%
r 1821
12.7%
t 1744
12.1%
n 1071
 
7.4%
s 936
 
6.5%
G 766
 
5.3%
a 527
 
3.7%
i 365
 
2.5%
l 351
 
2.4%
o 287
 
2.0%
Other values (40) 3119
21.7%
Common
ValueCountFrequency (%)
1051
66.4%
- 100
 
6.3%
& 76
 
4.8%
1 54
 
3.4%
3 46
 
2.9%
, 32
 
2.0%
2 32
 
2.0%
. 30
 
1.9%
4 25
 
1.6%
) 23
 
1.5%
Other values (12) 114
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15964
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 3394
21.3%
r 1821
11.4%
t 1744
10.9%
n 1071
 
6.7%
1051
 
6.6%
s 936
 
5.9%
G 766
 
4.8%
a 527
 
3.3%
i 365
 
2.3%
l 351
 
2.2%
Other values (62) 3938
24.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size62.1 KiB
2023-12-09T20:36:26.426659image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length8
Median length6
Mean length6.508
Min length6

Characters and Unicode

Total characters6508
Distinct characters9
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowActive
2nd rowActive
3rd rowActive
4th rowActive
5th rowActive
ValueCountFrequency (%)
active 746
74.6%
inactive 254
 
25.4%
2023-12-09T20:36:26.734509image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
c 1000
15.4%
t 1000
15.4%
i 1000
15.4%
v 1000
15.4%
e 1000
15.4%
A 746
11.5%
I 254
 
3.9%
n 254
 
3.9%
a 254
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5508
84.6%
Uppercase Letter 1000
 
15.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
c 1000
18.2%
t 1000
18.2%
i 1000
18.2%
v 1000
18.2%
e 1000
18.2%
n 254
 
4.6%
a 254
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
A 746
74.6%
I 254
 
25.4%

Most occurring scripts

ValueCountFrequency (%)
Latin 6508
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
c 1000
15.4%
t 1000
15.4%
i 1000
15.4%
v 1000
15.4%
e 1000
15.4%
A 746
11.5%
I 254
 
3.9%
n 254
 
3.9%
a 254
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6508
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
c 1000
15.4%
t 1000
15.4%
i 1000
15.4%
v 1000
15.4%
e 1000
15.4%
A 746
11.5%
I 254
 
3.9%
n 254
 
3.9%
a 254
 
3.9%
Distinct963
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size60.5 KiB
2023-12-09T20:36:27.198913image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length6
Median length5
Mean length4.826
Min length4

Characters and Unicode

Total characters4826
Distinct characters28
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique950 ?
Unique (%)95.0%

Sample

1st rowQZ756
2nd rowQZ755
3rd rowQZ754
4th rowQZ753
5th rowQZ752
ValueCountFrequency (%)
b178 8
 
0.8%
m080 7
 
0.7%
q178 6
 
0.6%
q035 6
 
0.6%
q387c 4
 
0.4%
x039 3
 
0.3%
q099 3
 
0.3%
x033 3
 
0.3%
q262 2
 
0.2%
x058 2
 
0.2%
Other values (953) 956
95.6%
2023-12-09T20:36:27.817028image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
Z 856
17.7%
Q 746
15.5%
3 351
7.3%
5 329
 
6.8%
1 329
 
6.8%
7 308
 
6.4%
4 303
 
6.3%
2 298
 
6.2%
0 275
 
5.7%
6 250
 
5.2%
Other values (18) 781
16.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2928
60.7%
Uppercase Letter 1898
39.3%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
Z 856
45.1%
Q 746
39.3%
B 125
 
6.6%
X 64
 
3.4%
M 57
 
3.0%
R 15
 
0.8%
A 9
 
0.5%
C 8
 
0.4%
K 4
 
0.2%
S 3
 
0.2%
Other values (8) 11
 
0.6%
Decimal Number
ValueCountFrequency (%)
3 351
12.0%
5 329
11.2%
1 329
11.2%
7 308
10.5%
4 303
10.3%
2 298
10.2%
0 275
9.4%
6 250
8.5%
8 246
8.4%
9 239
8.2%

Most occurring scripts

ValueCountFrequency (%)
Common 2928
60.7%
Latin 1898
39.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
Z 856
45.1%
Q 746
39.3%
B 125
 
6.6%
X 64
 
3.4%
M 57
 
3.0%
R 15
 
0.8%
A 9
 
0.5%
C 8
 
0.4%
K 4
 
0.2%
S 3
 
0.2%
Other values (8) 11
 
0.6%
Common
ValueCountFrequency (%)
3 351
12.0%
5 329
11.2%
1 329
11.2%
7 308
10.5%
4 303
10.3%
2 298
10.2%
0 275
9.4%
6 250
8.5%
8 246
8.4%
9 239
8.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4826
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
Z 856
17.7%
Q 746
15.5%
3 351
7.3%
5 329
 
6.8%
1 329
 
6.8%
7 308
 
6.4%
4 303
 
6.3%
2 298
 
6.2%
0 275
 
5.7%
6 250
 
5.2%
Other values (18) 781
16.2%

gsgroup
Text

MISSING 

Distinct131
Distinct (%)17.3%
Missing244
Missing (%)24.4%
Memory size51.6 KiB
2023-12-09T20:36:28.250474image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length7
Median length2
Mean length2.437830688
Min length1

Characters and Unicode

Total characters1843
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique88 ?
Unique (%)11.6%

Sample

1st row40
2nd row40
3rd row40
4th row40
5th row40
ValueCountFrequency (%)
17 35
 
4.6%
35 32
 
4.2%
24 29
 
3.8%
22 27
 
3.6%
05 26
 
3.4%
21 25
 
3.3%
15 22
 
2.9%
36 22
 
2.9%
23 22
 
2.9%
26 21
 
2.8%
Other values (121) 495
65.5%
2023-12-09T20:36:28.792956image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 435
23.6%
1 329
17.9%
2 285
15.5%
3 256
13.9%
5 113
 
6.1%
4 104
 
5.6%
6 98
 
5.3%
7 89
 
4.8%
9 76
 
4.1%
8 58
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1843
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 435
23.6%
1 329
17.9%
2 285
15.5%
3 256
13.9%
5 113
 
6.1%
4 104
 
5.6%
6 98
 
5.3%
7 89
 
4.8%
9 76
 
4.1%
8 58
 
3.1%

Most occurring scripts

ValueCountFrequency (%)
Common 1843
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 435
23.6%
1 329
17.9%
2 285
15.5%
3 256
13.9%
5 113
 
6.1%
4 104
 
5.6%
6 98
 
5.3%
7 89
 
4.8%
9 76
 
4.1%
8 58
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1843
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 435
23.6%
1 329
17.9%
2 285
15.5%
3 256
13.9%
5 113
 
6.1%
4 104
 
5.6%
6 98
 
5.3%
7 89
 
4.8%
9 76
 
4.1%
8 58
 
3.1%

gstype
Text

MISSING 

Distinct5
Distinct (%)0.9%
Missing423
Missing (%)42.3%
Memory size51.4 KiB
2023-12-09T20:36:28.978832image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length14
Median length11
Mean length10.57712305
Min length6

Characters and Unicode

Total characters6103
Distinct characters20
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowGreenstreet
2nd rowGreenstreet
3rd rowGreenstreet
4th rowGreenstreet
5th rowGreenstreet
ValueCountFrequency (%)
greenstreet 477
82.7%
ped_ref 40
 
6.9%
sa_tri 24
 
4.2%
treeonlymed 24
 
4.2%
sw_greenstreet 12
 
2.1%
2023-12-09T20:36:29.287657image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 2108
34.5%
r 1026
16.8%
t 978
16.0%
n 513
 
8.4%
G 489
 
8.0%
s 489
 
8.0%
_ 76
 
1.2%
d 64
 
1.0%
T 48
 
0.8%
f 40
 
0.7%
Other values (10) 272
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5290
86.7%
Uppercase Letter 737
 
12.1%
Connector Punctuation 76
 
1.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 2108
39.8%
r 1026
19.4%
t 978
18.5%
n 513
 
9.7%
s 489
 
9.2%
d 64
 
1.2%
f 40
 
0.8%
i 24
 
0.5%
l 24
 
0.5%
y 24
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
G 489
66.4%
T 48
 
6.5%
R 40
 
5.4%
P 40
 
5.4%
S 36
 
4.9%
A 24
 
3.3%
O 24
 
3.3%
M 24
 
3.3%
W 12
 
1.6%
Connector Punctuation
ValueCountFrequency (%)
_ 76
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6027
98.8%
Common 76
 
1.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 2108
35.0%
r 1026
17.0%
t 978
16.2%
n 513
 
8.5%
G 489
 
8.1%
s 489
 
8.1%
d 64
 
1.1%
T 48
 
0.8%
f 40
 
0.7%
R 40
 
0.7%
Other values (9) 232
 
3.8%
Common
ValueCountFrequency (%)
_ 76
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6103
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 2108
34.5%
r 1026
16.8%
t 978
16.0%
n 513
 
8.4%
G 489
 
8.0%
s 489
 
8.0%
_ 76
 
1.2%
d 64
 
1.0%
T 48
 
0.8%
f 40
 
0.7%
Other values (10) 272
 
4.5%
Distinct990
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size87.4 KiB
2023-12-09T20:36:29.708892image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length67
Median length49
Mean length32.416
Min length13

Characters and Unicode

Total characters32416
Distinct characters71
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique981 ?
Unique (%)98.1%

Sample

1st rowRockaway Beach Blvd bet. B 130 St & B 131 St
2nd rowRockaway Beach Blvd bet. B 131 St & B 132 St
3rd rowRockaway Beach Blvd bet. B 132 St & B 133 St
4th rowRockaway Beach Blvd bet. B 133 St & B 134 St
5th rowRockaway Beach Blvd bet. B 134 St & B 135 St
ValueCountFrequency (%)
1038
 
13.5%
st 845
 
11.0%
av 557
 
7.2%
bet 328
 
4.3%
ave 282
 
3.7%
blvd 179
 
2.3%
rd 173
 
2.2%
bl 119
 
1.5%
pkwy 72
 
0.9%
e 66
 
0.9%
Other values (930) 4034
52.4%
2023-12-09T20:36:30.301283image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6912
21.3%
t 2117
 
6.5%
e 2019
 
6.2%
a 1145
 
3.5%
v 1138
 
3.5%
n 1043
 
3.2%
l 1042
 
3.2%
& 1024
 
3.2%
r 978
 
3.0%
S 975
 
3.0%
Other values (61) 14023
43.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 15841
48.9%
Space Separator 6912
21.3%
Uppercase Letter 4690
 
14.5%
Decimal Number 3257
 
10.0%
Other Punctuation 1396
 
4.3%
Open Punctuation 155
 
0.5%
Close Punctuation 155
 
0.5%
Dash Punctuation 9
 
< 0.1%
Currency Symbol 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 2117
13.4%
e 2019
12.7%
a 1145
 
7.2%
v 1138
 
7.2%
n 1043
 
6.6%
l 1042
 
6.6%
r 978
 
6.2%
o 911
 
5.8%
d 877
 
5.5%
i 864
 
5.5%
Other values (16) 3707
23.4%
Uppercase Letter
ValueCountFrequency (%)
S 975
20.8%
A 897
19.1%
B 721
15.4%
R 245
 
5.2%
P 245
 
5.2%
E 171
 
3.6%
C 166
 
3.5%
M 159
 
3.4%
W 136
 
2.9%
L 121
 
2.6%
Other values (15) 854
18.2%
Decimal Number
ValueCountFrequency (%)
1 791
24.3%
2 449
13.8%
3 349
10.7%
4 296
 
9.1%
8 275
 
8.4%
7 254
 
7.8%
9 246
 
7.6%
5 222
 
6.8%
6 205
 
6.3%
0 170
 
5.2%
Other Punctuation
ValueCountFrequency (%)
& 1024
73.4%
, 189
 
13.5%
. 152
 
10.9%
/ 16
 
1.1%
@ 15
 
1.1%
Space Separator
ValueCountFrequency (%)
6912
100.0%
Open Punctuation
ValueCountFrequency (%)
( 155
100.0%
Close Punctuation
ValueCountFrequency (%)
) 155
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 20531
63.3%
Common 11885
36.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 2117
 
10.3%
e 2019
 
9.8%
a 1145
 
5.6%
v 1138
 
5.5%
n 1043
 
5.1%
l 1042
 
5.1%
r 978
 
4.8%
S 975
 
4.7%
o 911
 
4.4%
A 897
 
4.4%
Other values (41) 8266
40.3%
Common
ValueCountFrequency (%)
6912
58.2%
& 1024
 
8.6%
1 791
 
6.7%
2 449
 
3.8%
3 349
 
2.9%
4 296
 
2.5%
8 275
 
2.3%
7 254
 
2.1%
9 246
 
2.1%
5 222
 
1.9%
Other values (10) 1067
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32416
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6912
21.3%
t 2117
 
6.5%
e 2019
 
6.2%
a 1145
 
3.5%
v 1138
 
3.5%
n 1043
 
3.2%
l 1042
 
3.2%
& 1024
 
3.2%
r 978
 
3.0%
S 975
 
3.0%
Other values (61) 14023
43.3%

mou
Text

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size59.2 KiB
2023-12-09T20:36:30.440400image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.492
Min length3

Characters and Unicode

Total characters3492
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowDOT
2nd rowDOT
3rd rowDOT
4th rowDOT
5th rowDOT
ValueCountFrequency (%)
dot 642
64.2%
none 222
 
22.2%
other 135
 
13.5%
dep 1
 
0.1%
2023-12-09T20:36:30.701515image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
O 777
22.3%
D 643
18.4%
T 642
18.4%
e 357
10.2%
N 222
 
6.4%
o 222
 
6.4%
n 222
 
6.4%
t 135
 
3.9%
h 135
 
3.9%
r 135
 
3.9%
Other values (2) 2
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 2286
65.5%
Lowercase Letter 1206
34.5%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
O 777
34.0%
D 643
28.1%
T 642
28.1%
N 222
 
9.7%
E 1
 
< 0.1%
P 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
e 357
29.6%
o 222
18.4%
n 222
18.4%
t 135
 
11.2%
h 135
 
11.2%
r 135
 
11.2%

Most occurring scripts

ValueCountFrequency (%)
Latin 3492
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 777
22.3%
D 643
18.4%
T 642
18.4%
e 357
10.2%
N 222
 
6.4%
o 222
 
6.4%
n 222
 
6.4%
t 135
 
3.9%
h 135
 
3.9%
r 135
 
3.9%
Other values (2) 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3492
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
O 777
22.3%
D 643
18.4%
T 642
18.4%
e 357
10.2%
N 222
 
6.4%
o 222
 
6.4%
n 222
 
6.4%
t 135
 
3.9%
h 135
 
3.9%
r 135
 
3.9%
Other values (2) 2
 
0.1%
Distinct71
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size57.9 KiB
2023-12-09T20:36:30.952714image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length6
Median length2
Mean length2.168
Min length2

Characters and Unicode

Total characters2168
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)1.2%

Sample

1st row23
2nd row23
3rd row23
4th row23
5th row23
ValueCountFrequency (%)
25 127
 
12.2%
29 92
 
8.8%
37 61
 
5.9%
23 60
 
5.8%
27 60
 
5.8%
26 58
 
5.6%
33 50
 
4.8%
35 48
 
4.6%
24 48
 
4.6%
28 39
 
3.7%
Other values (50) 399
38.3%
2023-12-09T20:36:31.360410image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 540
24.9%
3 392
18.1%
5 304
14.0%
4 191
 
8.8%
7 181
 
8.3%
6 147
 
6.8%
8 121
 
5.6%
9 110
 
5.1%
0 60
 
2.8%
, 42
 
1.9%
Other values (2) 80
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2084
96.1%
Other Punctuation 42
 
1.9%
Space Separator 42
 
1.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 540
25.9%
3 392
18.8%
5 304
14.6%
4 191
 
9.2%
7 181
 
8.7%
6 147
 
7.1%
8 121
 
5.8%
9 110
 
5.3%
0 60
 
2.9%
1 38
 
1.8%
Other Punctuation
ValueCountFrequency (%)
, 42
100.0%
Space Separator
ValueCountFrequency (%)
42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2168
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 540
24.9%
3 392
18.1%
5 304
14.0%
4 191
 
8.8%
7 181
 
8.3%
6 147
 
6.8%
8 121
 
5.6%
9 110
 
5.1%
0 60
 
2.8%
, 42
 
1.9%
Other values (2) 80
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2168
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 540
24.9%
3 392
18.1%
5 304
14.0%
4 191
 
8.8%
7 181
 
8.3%
6 147
 
6.8%
8 121
 
5.6%
9 110
 
5.1%
0 60
 
2.8%
, 42
 
1.9%
Other values (2) 80
 
3.7%
Distinct34
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size57.9 KiB
2023-12-09T20:36:31.555653image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length6
Median length2
Mean length2.116
Min length2

Characters and Unicode

Total characters2116
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st row15
2nd row15
3rd row15
4th row15
5th row15
ValueCountFrequency (%)
11 233
22.6%
14 159
15.5%
15 118
11.5%
13 88
 
8.6%
16 69
 
6.7%
12 66
 
6.4%
10 35
 
3.4%
21 33
 
3.2%
34 32
 
3.1%
27 31
 
3.0%
Other values (15) 165
16.0%
2023-12-09T20:36:31.866300image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1070
50.6%
2 246
 
11.6%
4 202
 
9.5%
3 183
 
8.6%
5 136
 
6.4%
6 93
 
4.4%
0 58
 
2.7%
7 45
 
2.1%
, 29
 
1.4%
29
 
1.4%
Other values (2) 25
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2058
97.3%
Other Punctuation 29
 
1.4%
Space Separator 29
 
1.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1070
52.0%
2 246
 
12.0%
4 202
 
9.8%
3 183
 
8.9%
5 136
 
6.6%
6 93
 
4.5%
0 58
 
2.8%
7 45
 
2.2%
9 15
 
0.7%
8 10
 
0.5%
Other Punctuation
ValueCountFrequency (%)
, 29
100.0%
Space Separator
ValueCountFrequency (%)
29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2116
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1070
50.6%
2 246
 
11.6%
4 202
 
9.5%
3 183
 
8.6%
5 136
 
6.4%
6 93
 
4.4%
0 58
 
2.7%
7 45
 
2.1%
, 29
 
1.4%
29
 
1.4%
Other values (2) 25
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2116
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1070
50.6%
2 246
 
11.6%
4 202
 
9.5%
3 183
 
8.6%
5 136
 
6.4%
6 93
 
4.4%
0 58
 
2.7%
7 45
 
2.1%
, 29
 
1.4%
29
 
1.4%
Other values (2) 25
 
1.2%

omppropid
Text

UNIQUE 

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size60.6 KiB
2023-12-09T20:36:32.306509image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length11
Median length5
Mean length4.943
Min length4

Characters and Unicode

Total characters4943
Distinct characters22
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1000 ?
Unique (%)100.0%

Sample

1st rowQZ756
2nd rowQZ755
3rd rowQZ754
4th rowQZ753
5th rowQZ752
ValueCountFrequency (%)
xz144 1
 
0.1%
qz813 1
 
0.1%
qz374 1
 
0.1%
qz720 1
 
0.1%
qz372 1
 
0.1%
xz450 1
 
0.1%
xz412 1
 
0.1%
qz165 1
 
0.1%
qz53 1
 
0.1%
qz96 1
 
0.1%
Other values (990) 990
99.0%
2023-12-09T20:36:32.890405image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
Z 998
20.2%
Q 746
15.1%
4 340
 
6.9%
5 339
 
6.9%
3 333
 
6.7%
1 327
 
6.6%
7 301
 
6.1%
2 296
 
6.0%
6 267
 
5.4%
8 255
 
5.2%
Other values (12) 741
15.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2926
59.2%
Uppercase Letter 2015
40.8%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
Z 998
49.5%
Q 746
37.0%
B 125
 
6.2%
X 64
 
3.2%
M 56
 
2.8%
R 15
 
0.7%
A 6
 
0.3%
C 2
 
0.1%
S 1
 
< 0.1%
F 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
4 340
11.6%
5 339
11.6%
3 333
11.4%
1 327
11.2%
7 301
10.3%
2 296
10.1%
6 267
9.1%
8 255
8.7%
9 250
8.5%
0 218
7.5%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2928
59.2%
Latin 2015
40.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
Z 998
49.5%
Q 746
37.0%
B 125
 
6.2%
X 64
 
3.2%
M 56
 
2.8%
R 15
 
0.7%
A 6
 
0.3%
C 2
 
0.1%
S 1
 
< 0.1%
F 1
 
< 0.1%
Common
ValueCountFrequency (%)
4 340
11.6%
5 339
11.6%
3 333
11.4%
1 327
11.2%
7 301
10.3%
2 296
10.1%
6 267
9.1%
8 255
8.7%
9 250
8.5%
0 218
7.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4943
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
Z 998
20.2%
Q 746
15.1%
4 340
 
6.9%
5 339
 
6.9%
3 333
 
6.7%
1 327
 
6.6%
7 301
 
6.1%
2 296
 
6.0%
6 267
 
5.4%
8 255
 
5.2%
Other values (12) 741
15.0%
Distinct102
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Memory size59.7 KiB
2023-12-09T20:36:33.223283image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length5
Median length4
Mean length4.013
Min length4

Characters and Unicode

Total characters4013
Distinct characters24
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)4.5%

Sample

1st rowQ-14
2nd rowQ-14
3rd rowQ-14
4th rowQ-14
5th rowQ-14
ValueCountFrequency (%)
q-13 120
 
12.0%
q-08 119
 
11.9%
q-07 69
 
6.9%
q-11 63
 
6.3%
q-02 56
 
5.6%
q-14 52
 
5.2%
q-03 46
 
4.6%
q-12 38
 
3.8%
q-05 29
 
2.9%
q-09 26
 
2.6%
Other values (92) 382
38.2%
2023-12-09T20:36:35.644187image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 943
23.5%
Q 745
18.6%
0 597
14.9%
1 538
13.4%
3 219
 
5.5%
8 148
 
3.7%
2 139
 
3.5%
7 124
 
3.1%
B 121
 
3.0%
4 112
 
2.8%
Other values (14) 327
 
8.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2057
51.3%
Uppercase Letter 1013
25.2%
Dash Punctuation 943
23.5%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
Q 745
73.5%
B 121
 
11.9%
X 64
 
6.3%
M 56
 
5.5%
R 15
 
1.5%
C 4
 
0.4%
Z 2
 
0.2%
G 1
 
0.1%
F 1
 
0.1%
H 1
 
0.1%
Other values (3) 3
 
0.3%
Decimal Number
ValueCountFrequency (%)
0 597
29.0%
1 538
26.2%
3 219
 
10.6%
8 148
 
7.2%
2 139
 
6.8%
7 124
 
6.0%
4 112
 
5.4%
5 68
 
3.3%
6 57
 
2.8%
9 55
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 943
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3000
74.8%
Latin 1013
 
25.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
Q 745
73.5%
B 121
 
11.9%
X 64
 
6.3%
M 56
 
5.5%
R 15
 
1.5%
C 4
 
0.4%
Z 2
 
0.2%
G 1
 
0.1%
F 1
 
0.1%
H 1
 
0.1%
Other values (3) 3
 
0.3%
Common
ValueCountFrequency (%)
- 943
31.4%
0 597
19.9%
1 538
17.9%
3 219
 
7.3%
8 148
 
4.9%
2 139
 
4.6%
7 124
 
4.1%
4 112
 
3.7%
5 68
 
2.3%
6 57
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4013
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 943
23.5%
Q 745
18.6%
0 597
14.9%
1 538
13.4%
3 219
 
5.5%
8 148
 
3.7%
2 139
 
3.5%
7 124
 
3.1%
B 121
 
3.0%
4 112
 
2.8%
Other values (14) 327
 
8.1%
Distinct67
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size58.5 KiB
2023-12-09T20:36:35.919904image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.73
Min length1

Characters and Unicode

Total characters2730
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)1.3%

Sample

1st row100
2nd row100
3rd row100
4th row100
5th row100
ValueCountFrequency (%)
107 124
 
12.4%
105 119
 
11.9%
111 76
 
7.6%
109 72
 
7.2%
108 65
 
6.5%
115 53
 
5.3%
100 38
 
3.8%
104 37
 
3.7%
102 31
 
3.1%
114 28
 
2.8%
Other values (57) 357
35.7%
2023-12-09T20:36:36.336530image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1094
40.1%
0 643
23.6%
7 214
 
7.8%
5 211
 
7.7%
4 134
 
4.9%
2 93
 
3.4%
8 88
 
3.2%
6 87
 
3.2%
9 84
 
3.1%
3 82
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2730
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1094
40.1%
0 643
23.6%
7 214
 
7.8%
5 211
 
7.7%
4 134
 
4.9%
2 93
 
3.4%
8 88
 
3.2%
6 87
 
3.2%
9 84
 
3.1%
3 82
 
3.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2730
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1094
40.1%
0 643
23.6%
7 214
 
7.8%
5 211
 
7.7%
4 134
 
4.9%
2 93
 
3.4%
8 88
 
3.2%
6 87
 
3.2%
9 84
 
3.1%
3 82
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2730
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1094
40.1%
0 643
23.6%
7 214
 
7.8%
5 211
 
7.7%
4 134
 
4.9%
2 93
 
3.4%
8 88
 
3.2%
6 87
 
3.2%
9 84
 
3.1%
3 82
 
3.0%

sitename
Text

MISSING 

Distinct102
Distinct (%)11.8%
Missing133
Missing (%)13.3%
Memory size62.6 KiB
2023-12-09T20:36:36.537472image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length37
Median length11
Mean length11.87197232
Min length6

Characters and Unicode

Total characters10293
Distinct characters61
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique92 ?
Unique (%)10.6%

Sample

1st rowGreenstreet
2nd rowGreenstreet
3rd rowGreenstreet
4th rowGreenstreet
5th rowGreenstreet
ValueCountFrequency (%)
greenstreet 742
70.2%
triangle 47
 
4.4%
malls 20
 
1.9%
square 11
 
1.0%
park 10
 
0.9%
median 8
 
0.8%
flatbush 8
 
0.8%
avenue 8
 
0.8%
jackson 8
 
0.8%
schiff 7
 
0.7%
Other values (152) 188
 
17.8%
2023-12-09T20:36:36.888184image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 2916
28.3%
r 1511
14.7%
t 1428
13.9%
n 818
 
7.9%
s 759
 
7.4%
G 753
 
7.3%
E 258
 
2.5%
a 201
 
2.0%
190
 
1.8%
T 174
 
1.7%
Other values (51) 1285
12.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8374
81.4%
Uppercase Letter 1702
 
16.5%
Space Separator 190
 
1.8%
Other Punctuation 7
 
0.1%
Open Punctuation 6
 
0.1%
Close Punctuation 6
 
0.1%
Decimal Number 5
 
< 0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 2916
34.8%
r 1511
18.0%
t 1428
17.1%
n 818
 
9.8%
s 759
 
9.1%
a 201
 
2.4%
l 141
 
1.7%
i 123
 
1.5%
o 79
 
0.9%
g 63
 
0.8%
Other values (15) 335
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
G 753
44.2%
E 258
 
15.2%
T 174
 
10.2%
R 136
 
8.0%
S 106
 
6.2%
N 67
 
3.9%
M 42
 
2.5%
F 24
 
1.4%
A 24
 
1.4%
P 23
 
1.4%
Other values (14) 95
 
5.6%
Other Punctuation
ValueCountFrequency (%)
& 3
42.9%
. 2
28.6%
/ 1
 
14.3%
' 1
 
14.3%
Decimal Number
ValueCountFrequency (%)
7 2
40.0%
0 1
20.0%
1 1
20.0%
6 1
20.0%
Space Separator
ValueCountFrequency (%)
190
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10076
97.9%
Common 217
 
2.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 2916
28.9%
r 1511
15.0%
t 1428
14.2%
n 818
 
8.1%
s 759
 
7.5%
G 753
 
7.5%
E 258
 
2.6%
a 201
 
2.0%
T 174
 
1.7%
l 141
 
1.4%
Other values (39) 1117
 
11.1%
Common
ValueCountFrequency (%)
190
87.6%
( 6
 
2.8%
) 6
 
2.8%
- 3
 
1.4%
& 3
 
1.4%
7 2
 
0.9%
. 2
 
0.9%
0 1
 
0.5%
/ 1
 
0.5%
1 1
 
0.5%
Other values (2) 2
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10293
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 2916
28.3%
r 1511
14.7%
t 1428
13.9%
n 818
 
7.9%
s 759
 
7.4%
G 753
 
7.3%
E 258
 
2.5%
a 201
 
2.0%
190
 
1.8%
T 174
 
1.7%
Other values (51) 1285
12.5%

starea
Text

UNIQUE 

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size72.8 KiB
2023-12-09T20:36:37.143226image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length18
Median length17
Mean length17.416
Min length11

Characters and Unicode

Total characters17416
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1000 ?
Unique (%)100.0%

Sample

1st row3061.3380279541016
2nd row3061.2955627441406
3rd row3061.340774536133
4th row3061.3104400634766
5th row3061.337860107422
ValueCountFrequency (%)
1714.3450164794922 1
 
0.1%
1110.831314086914 1
 
0.1%
1230.2487182617188 1
 
0.1%
738.9418487548828 1
 
0.1%
2679.9972229003906 1
 
0.1%
362.81866455078125 1
 
0.1%
1281.9524383544922 1
 
0.1%
470.4774169921875 1
 
0.1%
347.979736328125 1
 
0.1%
3427.633987426758 1
 
0.1%
Other values (990) 990
99.0%
2023-12-09T20:36:37.547619image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1894
10.9%
3 1728
9.9%
2 1699
9.8%
4 1673
9.6%
5 1663
9.5%
6 1660
9.5%
8 1651
9.5%
7 1567
9.0%
0 1468
8.4%
9 1413
8.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16416
94.3%
Other Punctuation 1000
 
5.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1894
11.5%
3 1728
10.5%
2 1699
10.3%
4 1673
10.2%
5 1663
10.1%
6 1660
10.1%
8 1651
10.1%
7 1567
9.5%
0 1468
8.9%
9 1413
8.6%
Other Punctuation
ValueCountFrequency (%)
. 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 17416
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1894
10.9%
3 1728
9.9%
2 1699
9.8%
4 1673
9.6%
5 1663
9.5%
6 1660
9.5%
8 1651
9.5%
7 1567
9.0%
0 1468
8.4%
9 1413
8.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17416
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1894
10.9%
3 1728
9.9%
2 1699
9.8%
4 1673
9.6%
5 1663
9.5%
6 1660
9.5%
8 1651
9.5%
7 1567
9.0%
0 1468
8.4%
9 1413
8.1%

stlength
Text

UNIQUE 

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size72.8 KiB
2023-12-09T20:36:37.812994image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length18
Median length17
Mean length17.433
Min length15

Characters and Unicode

Total characters17433
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1000 ?
Unique (%)100.0%

Sample

1st row411.5281206503942
2nd row411.52800982410065
3rd row411.5280887770174
4th row411.5281213586527
5th row411.5280235862626
ValueCountFrequency (%)
293.5289901843911 1
 
0.1%
147.62520068112698 1
 
0.1%
465.10997399946575 1
 
0.1%
481.51820637736154 1
 
0.1%
215.01108143213835 1
 
0.1%
162.56402933370182 1
 
0.1%
196.38568937149083 1
 
0.1%
419.0761937355299 1
 
0.1%
1696.931342202373 1
 
0.1%
1411.3197042761697 1
 
0.1%
Other values (990) 990
99.0%
2023-12-09T20:36:38.206949image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1811
10.4%
1 1800
10.3%
3 1753
10.1%
4 1687
9.7%
5 1615
9.3%
7 1607
9.2%
6 1589
9.1%
9 1547
8.9%
8 1547
8.9%
0 1477
8.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16433
94.3%
Other Punctuation 1000
 
5.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1811
11.0%
1 1800
11.0%
3 1753
10.7%
4 1687
10.3%
5 1615
9.8%
7 1607
9.8%
6 1589
9.7%
9 1547
9.4%
8 1547
9.4%
0 1477
9.0%
Other Punctuation
ValueCountFrequency (%)
. 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 17433
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1811
10.4%
1 1800
10.3%
3 1753
10.1%
4 1687
9.7%
5 1615
9.3%
7 1607
9.2%
6 1589
9.1%
9 1547
8.9%
8 1547
8.9%
0 1477
8.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17433
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1811
10.4%
1 1800
10.3%
3 1753
10.1%
4 1687
9.7%
5 1615
9.3%
7 1607
9.2%
6 1589
9.1%
9 1547
8.9%
8 1547
8.9%
0 1477
8.5%

subcategory
Text

MISSING 

Distinct6
Distinct (%)0.9%
Missing356
Missing (%)35.6%
Memory size51.2 KiB
2023-12-09T20:36:38.381212image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length26
Median length6
Mean length6.472049689
Min length4

Characters and Unicode

Total characters4168
Distinct characters26
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st rowType 1
2nd rowType 1
3rd rowType 2
4th rowType 1
5th rowType 1
ValueCountFrequency (%)
type 628
48.7%
1 358
27.8%
2 270
20.9%
sitting 13
 
1.0%
area/triangle/mall 13
 
1.0%
neighborhood 2
 
0.2%
plgd 2
 
0.2%
greenstreet 2
 
0.2%
pier 1
 
0.1%
2023-12-09T20:36:38.663438image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 665
16.0%
645
15.5%
T 641
15.4%
y 628
15.1%
p 628
15.1%
1 358
8.6%
2 270
6.5%
i 42
 
1.0%
l 41
 
1.0%
a 39
 
0.9%
Other values (16) 211
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2182
52.4%
Uppercase Letter 687
 
16.5%
Space Separator 645
 
15.5%
Decimal Number 628
 
15.1%
Other Punctuation 26
 
0.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 665
30.5%
y 628
28.8%
p 628
28.8%
i 42
 
1.9%
l 41
 
1.9%
a 39
 
1.8%
r 33
 
1.5%
g 30
 
1.4%
t 30
 
1.4%
n 28
 
1.3%
Other values (5) 18
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
T 641
93.3%
A 13
 
1.9%
S 13
 
1.9%
M 13
 
1.9%
P 3
 
0.4%
N 2
 
0.3%
G 2
 
0.3%
Decimal Number
ValueCountFrequency (%)
1 358
57.0%
2 270
43.0%
Space Separator
ValueCountFrequency (%)
645
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2869
68.8%
Common 1299
31.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 665
23.2%
T 641
22.3%
y 628
21.9%
p 628
21.9%
i 42
 
1.5%
l 41
 
1.4%
a 39
 
1.4%
r 33
 
1.2%
g 30
 
1.0%
t 30
 
1.0%
Other values (12) 92
 
3.2%
Common
ValueCountFrequency (%)
645
49.7%
1 358
27.6%
2 270
20.8%
/ 26
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4168
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 665
16.0%
645
15.5%
T 641
15.4%
y 628
15.1%
p 628
15.1%
1 358
8.6%
2 270
6.5%
i 42
 
1.0%
l 41
 
1.0%
a 39
 
0.9%
Other values (16) 211
 
5.1%

system
Text

UNIQUE 

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size61.3 KiB
2023-12-09T20:36:39.052920image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length12
Median length5
Mean length5.684
Min length4

Characters and Unicode

Total characters5684
Distinct characters29
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1000 ?
Unique (%)100.0%

Sample

1st rowQZ756
2nd rowQZ755
3rd rowQZ754
4th rowQZ753
5th rowQZ752
ValueCountFrequency (%)
qz408 1
 
0.1%
bz73 1
 
0.1%
qz275 1
 
0.1%
qz571 1
 
0.1%
xz450 1
 
0.1%
qz165 1
 
0.1%
x150g-xz206 1
 
0.1%
qz53 1
 
0.1%
qz96 1
 
0.1%
qz68 1
 
0.1%
Other values (990) 990
99.0%
2023-12-09T20:36:39.600998image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
Z 998
17.6%
Q 799
14.1%
1 387
 
6.8%
3 384
 
6.8%
4 368
 
6.5%
5 364
 
6.4%
7 344
 
6.1%
2 334
 
5.9%
0 317
 
5.6%
8 299
 
5.3%
Other values (19) 1090
19.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3357
59.1%
Uppercase Letter 2183
38.4%
Dash Punctuation 144
 
2.5%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
Z 998
45.7%
Q 799
36.6%
B 155
 
7.1%
X 106
 
4.9%
M 73
 
3.3%
R 17
 
0.8%
A 9
 
0.4%
C 8
 
0.4%
K 4
 
0.2%
S 3
 
0.1%
Other values (8) 11
 
0.5%
Decimal Number
ValueCountFrequency (%)
1 387
11.5%
3 384
11.4%
4 368
11.0%
5 364
10.8%
7 344
10.2%
2 334
9.9%
0 317
9.4%
8 299
8.9%
6 287
8.5%
9 273
8.1%
Dash Punctuation
ValueCountFrequency (%)
- 144
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3501
61.6%
Latin 2183
38.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
Z 998
45.7%
Q 799
36.6%
B 155
 
7.1%
X 106
 
4.9%
M 73
 
3.3%
R 17
 
0.8%
A 9
 
0.4%
C 8
 
0.4%
K 4
 
0.2%
S 3
 
0.1%
Other values (8) 11
 
0.5%
Common
ValueCountFrequency (%)
1 387
11.1%
3 384
11.0%
4 368
10.5%
5 364
10.4%
7 344
9.8%
2 334
9.5%
0 317
9.1%
8 299
8.5%
6 287
8.2%
9 273
7.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5684
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
Z 998
17.6%
Q 799
14.1%
1 387
 
6.8%
3 384
 
6.8%
4 368
 
6.5%
5 364
 
6.4%
7 344
 
6.1%
2 334
 
5.9%
0 317
 
5.6%
8 299
 
5.3%
Other values (19) 1090
19.2%
Distinct16
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size57.1 KiB
2023-12-09T20:36:39.764501image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length5
Median length1
Mean length1.327
Min length1

Characters and Unicode

Total characters1327
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row5
2nd row5
3rd row5
4th row5
5th row5
ValueCountFrequency (%)
6 269
26.7%
5 223
22.1%
14 128
12.7%
3 71
 
7.1%
12 69
 
6.9%
9 67
 
6.7%
10 42
 
4.2%
8 38
 
3.8%
7 33
 
3.3%
15 30
 
3.0%
Other values (3) 37
 
3.7%
2023-12-09T20:36:40.059030image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 324
24.4%
6 276
20.8%
5 253
19.1%
4 128
 
9.6%
3 83
 
6.3%
2 69
 
5.2%
9 67
 
5.0%
0 42
 
3.2%
8 38
 
2.9%
7 33
 
2.5%
Other values (2) 14
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1313
98.9%
Other Punctuation 7
 
0.5%
Space Separator 7
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 324
24.7%
6 276
21.0%
5 253
19.3%
4 128
 
9.7%
3 83
 
6.3%
2 69
 
5.3%
9 67
 
5.1%
0 42
 
3.2%
8 38
 
2.9%
7 33
 
2.5%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1327
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 324
24.4%
6 276
20.8%
5 253
19.1%
4 128
 
9.6%
3 83
 
6.3%
2 69
 
5.2%
9 67
 
5.0%
0 42
 
3.2%
8 38
 
2.9%
7 33
 
2.5%
Other values (2) 14
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1327
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 324
24.4%
6 276
20.8%
5 253
19.1%
4 128
 
9.6%
3 83
 
6.3%
2 69
 
5.2%
9 67
 
5.0%
0 42
 
3.2%
8 38
 
2.9%
7 33
 
2.5%
Other values (2) 14
 
1.1%
Distinct133
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size60.7 KiB
2023-12-09T20:36:40.369584image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length12
Median length5
Mean length5.021
Min length5

Characters and Unicode

Total characters5021
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)3.7%

Sample

1st row11694
2nd row11694
3rd row11694
4th row11694
5th row11694
ValueCountFrequency (%)
11365 63
 
6.3%
11101 54
 
5.4%
11413 54
 
5.4%
11423 32
 
3.2%
11357 31
 
3.1%
11694 29
 
2.9%
11369 27
 
2.7%
11367 25
 
2.5%
11364 22
 
2.2%
11372 22
 
2.2%
Other values (120) 644
64.2%
2023-12-09T20:36:40.812604image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 2284
45.5%
3 637
 
12.7%
4 417
 
8.3%
0 357
 
7.1%
6 335
 
6.7%
2 327
 
6.5%
5 238
 
4.7%
7 205
 
4.1%
9 108
 
2.2%
8 107
 
2.1%
Other values (2) 6
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5015
99.9%
Other Punctuation 3
 
0.1%
Space Separator 3
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2284
45.5%
3 637
 
12.7%
4 417
 
8.3%
0 357
 
7.1%
6 335
 
6.7%
2 327
 
6.5%
5 238
 
4.7%
7 205
 
4.1%
9 108
 
2.2%
8 107
 
2.1%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5021
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 2284
45.5%
3 637
 
12.7%
4 417
 
8.3%
0 357
 
7.1%
6 335
 
6.7%
2 327
 
6.5%
5 238
 
4.7%
7 205
 
4.1%
9 108
 
2.2%
8 107
 
2.1%
Other values (2) 6
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5021
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2284
45.5%
3 637
 
12.7%
4 417
 
8.3%
0 357
 
7.1%
6 335
 
6.7%
2 327
 
6.5%
5 238
 
4.7%
7 205
 
4.1%
9 108
 
2.2%
8 107
 
2.1%
Other values (2) 6
 
0.1%

multipolygon
Text

UNIQUE 

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.1 MiB
2023-12-09T20:36:41.270362image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13750
Median length6213.5
Mean length3164.986
Min length164

Characters and Unicode

Total characters3164986
Distinct characters26
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1000 ?
Unique (%)100.0%

Sample

1st rowMULTIPOLYGON (((-73.84943380582722 40.57534766017451, -73.84937052590215 40.575373937408614, -73.84889541241985 40.575571231003764, -73.84889457565093 40.57557150096137, -73.8488937530033 40.5755717934507, -73.84889294448293 40.57557210577015, -73.84889214890067 40.57557244152031, -73.84889137099084 40.57557279620476, -73.84889060838518 40.57557317252189, -73.84888986463093 40.57557356867541, -73.84888913855106 40.575573982862736, -73.84888843250151 40.57557441778844, -73.84888774530734 40.57557487074945, -73.84888708051169 40.57557534175045, -73.8488864369375 40.57557582898881, -73.84888581576176 40.57557633426717, -73.84888521816961 40.575576855786004, -73.84888464416505 40.57557739174425, -73.84888409610807 40.57557794304558, -73.84888357282172 40.57557850788739, -73.84888307430404 40.575579087170176, -73.84888260410209 40.57557967909756, -73.84888216221584 40.575580283669524, -73.84888174510844 40.5755808981799, -73.84888135868283 40.57558152353692, -73.84888099939603 40.57558215973596, -73.84888067079514 40.575582804980634, -73.84888037170326 40.57558345746833, -73.84888010093518 40.575584118998506, -73.84887986204222 40.5755847859738, -73.84887965266026 40.57558545929157, -73.84887947397236 40.57558613805288, -73.84887932716155 40.575586821358755, -73.84887921105096 40.57558750740657, -73.84887912564052 40.5755881961964, -73.84887907211127 40.5755888877297, -73.84887905046932 40.57558957930494, -73.84887906071467 40.57559027092218, -73.84887910166829 40.575590961679254, -73.84887917450926 40.57559165247824, -73.84887927806267 40.575592340616105, -73.84887941351356 40.575593024293255, -73.84887958085989 40.575593704410274, -73.84887977656066 40.575594380061986, -73.84888000534197 40.57559505035403, -73.84888026366693 40.57559571258025, -73.84888055271041 40.57559636944368, -73.84888087011853 40.57559701733917, -73.8488812170723 40.57559765626828, -73.84888159356971 40.57559828713151, -73.84888199843789 40.57559890632522, -73.84888243167484 40.575599514749946, -73.84888289210147 40.57560011150362, -73.84888337854096 40.57560069478362, -73.84888389217016 40.57560126639252, -73.84888443063528 40.57560182272517, -73.84888499511527 40.575602364683604, -73.8488855832481 40.5756028922648, -73.84888619504186 40.57560340186655, -73.84888683048648 40.57560389799153, -73.84888748723206 40.57560437523346, -73.84888816645758 40.57560483449449, -73.84888886462012 40.57560527576992, -73.84888958290263 40.57560569816072, -73.84889032130506 40.57560610166695, -73.84889107628653 40.57560648538343, -73.84889184902798 40.575606849311704, -73.84889263717153 40.57560719164763, -73.84889344189808 40.575607512392715, -73.84889425847963 40.575607813341854, -73.84889508928423 40.57560809179651, -73.84889593313088 40.5756083477552, -73.84889678647659 40.575608581213245, -73.8488976516813 40.57560879307426, -73.84889852520804 40.575608980632026, -73.84889940705489 40.575609144787045, -73.84890029485776 40.575609286436745, -73.84890118980165 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40.57402557589573, -73.85268074546921 40.5740251802565, -73.85267978496094 40.57402481070971, -73.85267880904625 40.574024465457335, -73.85267781890018 40.574024147202515, -73.85267681334376 40.57402385504315, -73.85267579473692 40.57402358988283, -73.85267476662463 40.574023350825534, -73.85267372663895 40.5740231405698, -73.85267267832882 40.57402295641871, -73.85267162168618 40.574022801974216, -73.8526705590771 40.57402267543836, -73.85266949168451 40.57402257591213, -73.85266841950244 40.57402250609714, -73.85266734607983 40.57402246329627, -73.85266627022968 40.57402245020963, -73.8526651943179 40.5740224650392, -73.85266411952561 40.574022507786516, -73.85266304939363 40.57402257935661, -73.8526619803791 40.57402267974497, -73.85266091957179 40.5740228071596, -73.85265986224194 40.574022964296056, -73.85265881430034 40.57402314846025, -73.85265777574506 40.57402336055284, -73.85265674658001 40.574023598772676, -73.85265572916117 40.57402386582441, -73.85265472467562 40.574024159007976, -73.85265373430416 40.57402447832483, -73.85265275804697 40.57402482377509, -73.85265179944886 40.574025194462706, -73.85262083039325 40.574038056568604)))
ValueCountFrequency (%)
multipolygon 1000
 
0.6%
40.787205834238 5
 
< 0.1%
73.81606819610401 5
 
< 0.1%
73.93174034230653 4
 
< 0.1%
40.69675006161178 4
 
< 0.1%
73.7407585946553 4
 
< 0.1%
40.702678628213405 4
 
< 0.1%
40.74653941196967 4
 
< 0.1%
73.74319935266575 4
 
< 0.1%
40.69732497878 4
 
< 0.1%
Other values (163027) 165416
99.4%
2023-12-09T20:36:41.887280image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 390514
12.3%
4 313415
9.9%
3 294856
9.3%
0 274468
8.7%
8 248053
7.8%
6 244138
7.7%
5 230751
7.3%
9 227886
7.2%
2 216284
6.8%
1 211175
6.7%
Other values (16) 513446
16.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2651540
83.8%
Other Punctuation 247181
 
7.8%
Space Separator 165454
 
5.2%
Dash Punctuation 82727
 
2.6%
Uppercase Letter 12000
 
0.4%
Close Punctuation 3042
 
0.1%
Open Punctuation 3042
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 390514
14.7%
4 313415
11.8%
3 294856
11.1%
0 274468
10.4%
8 248053
9.4%
6 244138
9.2%
5 230751
8.7%
9 227886
8.6%
2 216284
8.2%
1 211175
8.0%
Uppercase Letter
ValueCountFrequency (%)
O 2000
16.7%
L 2000
16.7%
U 1000
8.3%
N 1000
8.3%
G 1000
8.3%
Y 1000
8.3%
P 1000
8.3%
I 1000
8.3%
T 1000
8.3%
M 1000
8.3%
Other Punctuation
ValueCountFrequency (%)
. 165454
66.9%
, 81727
33.1%
Space Separator
ValueCountFrequency (%)
165454
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 82727
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3042
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3042
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3152986
99.6%
Latin 12000
 
0.4%

Most frequent character per script

Common
ValueCountFrequency (%)
7 390514
12.4%
4 313415
9.9%
3 294856
9.4%
0 274468
8.7%
8 248053
7.9%
6 244138
7.7%
5 230751
7.3%
9 227886
7.2%
2 216284
6.9%
1 211175
6.7%
Other values (6) 501446
15.9%
Latin
ValueCountFrequency (%)
O 2000
16.7%
L 2000
16.7%
U 1000
8.3%
N 1000
8.3%
G 1000
8.3%
Y 1000
8.3%
P 1000
8.3%
I 1000
8.3%
T 1000
8.3%
M 1000
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3164986
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 390514
12.3%
4 313415
9.9%
3 294856
9.3%
0 274468
8.7%
8 248053
7.8%
6 244138
7.7%
5 230751
7.3%
9 227886
7.2%
2 216284
6.8%
1 211175
6.7%
Other values (16) 513446
16.2%